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Looking for a wheelchair with a smile



On his journey a few years ago, Dr. Ing. Paulo Pinheiro met by a scene that developed in front of him. "I saw a girl at the airport, she was in a wheelchair," he told Engadget. "She could not move her arms or legs, her dad helped her with her wheelchair, but she smiled great … so I thought it would be a good idea to translate that smile into commands that could move one wheelchair."

<img alt = "asdf" data-caption = "asdf" data-credit = "HooBox Robotics / Flickr" data-credit-link-back = "" data-dam-provider = "" data-local-id = "local-1

-2783746-1544134450720" data-media-id = "d1f18dd6-5ee4-3faa-ba65-3201ab97638b" data-original-url = "https://s.yimg.com/os/creatr-uploaded- images / 2018-12 / 36e85a30-f9a4-11e8-bae3-bdf04673e46c "data-title =" asdf "src =" https://o.aolcdn.com/images/dims?crop=1024%2C585%2C0%2C0&quality= 85 & format = 100% agrees to cancel or disagree with the size The experience provoked his decision to create HooBox Robotics The team has developed the Wheelie 7, an AI-powered face recognition accessory designed to make it easy to use Users can control their motorized wheelchair with nearly a dozen facial expressions. For 18 months, the HooBox team has been working with Intel's Software Innovators Program to accelerate the development of the system. In particular, Intel helped integrate the 3D RealSense camera into the Wheelie 7 kit.

"The problem was that controlling a wheelchair requires not just facial recognition, but high-precision facial recognition," explained Pinheiro. "So, if people use a smile to stop the chair, you want to make sure it works one hundred percent, right?"

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Despite its impressive capabilities, the Wheelie 7 does not require much processing. In fact, the system does not even need an internet connection. "Everything is in place," said Pinheiro. "We can embed this technology into virtually any platform so you can use your laptop when using a Core i5 or higher, without the need for GPUs or the cloud, and you do not need additional processing power."

Interestingly enough, everything is missing What the kit can do, a feature that is strikingly lacking. "In the beginning, we started with an algorithm that can detect when you talk to someone, so the interface is disabled," explained Pinheiro. In fact, the first prototype run of the system included this capability, but was removed from later versions due to negative user feedback.

"When They Begin a Conversation They prefer to enable and disable the interface itself," he continued. Users can now use a combination of expressions – raise one eyebrow, then the other for three seconds – to toggle the UI off and on.

Currently, the wheelie system needs only five of the available 10 facial expressions to take control of the chair, which means that future iterations can control other functions and even other accessories. And to a degree already. The system is compatible with Amazon's Alexa, allowing Wheelie 7 users to control various aspects of their smart homes, such as turning the lights on and off and setting the thermostat.

The Company is also working to develop a "facial expressions vocabulary" "This allows users to write complete sentences through different face gestures rather than simply selecting them from a preprogrammed list, as many do today.

Finally Pinheiro hopes to develop the technology to not only understand facial expressions but also human behavior, and to this end, HooBox is currently working with one of the largest medical facilities in Brazil, where the company is located, to develop a measurement system The pain level of the patient using a camera mounted on the ICU bed It is not yet known when the system will be ready for wide acceptance, but if it does, it could revolutionize the way in which it works modern medicine with pain treatment and opiate addiction dience.


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